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Remote sensing for resources development and environmental management (Volume 1)

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Bibliographic data

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

Multivolume work

Persistent identifier:
856342815
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856342815
Language:
English
Additional Notes:
Volume 1-3 erschienen von 1986-1988
Editor:
Damen, M. C. J.
Document type:
Multivolume work

Volume

Persistent identifier:
856343064
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Scope:
XV, 547 Seiten
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856343064
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(26,7,1)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Damen, M. C. J.
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Selection of bands for a newly developed Multispectral Airborne Reference-aided Calibrated Scanner (MARCS). M. A. Mulders, A. N. de Jong, K. Schurer, D. de Hoop
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • Remote sensing for resources development and environmental management
  • Remote sensing for resources development and environmental management (Volume 1)
  • Cover
  • Title page
  • Title page
  • Title page
  • Preface
  • Organization of the Symposium
  • Working Groups
  • Table of contents
  • 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
  • 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
  • 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
  • Relationship between soil and leaf metal content and Landsat MSS and TM acquired canopy reflectance data. C. Banninger
  • The conception of a project investigating the spectral reflectivity of plant targets using high spectral resolution and manifold repetitions. F. Boochs
  • CAESAR: CCD Airborne Experimental Scanner for Applications in Remote Sensing. N. J. J. Bunnik & H. Pouwels, C. Smorenburg & A. L. G. van Valkenburg
  • LANDSAT TM band combinations for crop discrimination. Sherry Chou Chen, Getulio Teixeira Batista & Antonio Tebaldi Tardin
  • The derivation of a simplified reflectance model for the estimation of LAI. J. G. P. W. Clevers
  • The application of a vegetation index in correcting the infrared reflectance for soil background. J. G. P. W. Clevers
  • The use of multispectral photography in agricultural research. J. G. P. W. Clevers
  • TURTLE and HARE, two detailed crop reflection models. J. A. den Dulk
  • Sugar beet biomass estimation using spectral data derived from colour infrared slides. Robert R. De Wulf & Roland E. Goossens
  • Multitemporal analysis of Thematic Mapper data for soil survey in Southern Tunisia. G. F. Epema
  • Insertion of hydrological decorralated data from photographic sensors of the Shuttle in a digital cartography of geophysical explorations (Spacelab 1-Metric Camera and Large Format Camera). G. Galibert
  • Spectral signature of rice fields using Landsat-5 TM in the Mediterranean coast of Spain. S. Gandia, V. Caselles, A. Gilabert & J. Meliá
  • The canopy hot-spot as crop identifier. S. A. W. Gerstl, C. Simmer & B. J. Powers
  • An evaluation of different green vegetation indices for wheat yield forecasting. A. Giovacchini
  • Spectral and botanical classification of grasslands: Auxois example. C. M. Girard
  • The use of Thematic Mapper imagery for geomorphological mapping in arid and semi-arid environments. A. R. Jones
  • Determination of spectral signatures of different forest damages from varying altitudes of multispectral scanner data. A. Kadro
  • A preliminary assessment of an airborne thermal video frame scanning system for environmental engineering surveys. T. J. M. Kennie & C. D. Dale, G. C. Stove
  • Study on the spectral radiometric characteristics and the spectrum yield model of spring wheat in the field of BeiAn city, HeilonJiang province, China (primary report). Ma-Yanyou, You-Bochung, Guo-Ruikuan, Lin-Weigang & Mo-Hong
  • Multitemporal analysis of LANDSAT Multispectral Scanner (MSS) and Thematic Mapper (TM) data to map crops in the Po valley (Italy) and in Mendoza (Argentina). M. Menenti & S. Azzali, D. A. Collado & S. Leguizamon
  • Selection of bands for a newly developed Multispectral Airborne Reference-aided Calibrated Scanner (MARCS). M. A. Mulders, A. N. de Jong, K. Schurer, D. de Hoop
  • Mapping of available solar radiation at ground. Ehrhard Raschke & Martin Rieland
  • Spectral signatures of soils and terrain conditions using lasers and spectrometers. H. Schreier
  • Relation between spectral reflectance and vegetation index. S. M. Singh
  • On the estimation of the condition of agricultural objects from spectral signatures in the VIS, NIR, MIR and TIR wavebands. R. Söllner, K.-H. Marek & H. Weichelt, H. Barsch
  • LANDSAT temporal-spectral profiles of crops on the South African Highveld. B. Turner
  • Theoretic reflection modelling of soil surface properties. B. P. J. van den Bergh & B. A. M. Bouman
  • Monitoring of renewable resources in equatorial countries. R. van Konijnenburg, Mahsum Irsyam
  • Assessment of soil properties from spectral data. G. Venkatachalam & V. K. R. Jeyasingh
  • Spectral components analysis: Rationale and results. C. L. Wiegand & A. J. Richardson
  • 4 Renewable resources in rural areas: Vegetation, forestry, agriculture, soil survey, land and water use. Chairman: J. Besenicar, Liaisons: M. Molenaar, Th. A. de Boer
  • Cover

Full text

302 
CHOPPER AXIS 
^ 
Fig. 1. Schematic presentation of MARCS. 
means of them, spectral combination and feature 
extractions can be made. 
The use of a different set of filters is possible 
provided that the choice of wavelengths takes 
account of the transmission properties of the 
atmosphere and of the spectral range of the 
respective detectors. Exchange of a filterset can 
be done in a few hours. 
SELECTION OF BANDS 
The selection of bands is directed by three 
aspects, viz.: 
- the position of the atmospheric windows, 
- the absorption properties of atoms, ions and 
molecules in soil minerals and organic matter, 
- the spectral shift connected to physiological 
damage of plants as well as the reflection and 
absorption properties of healthy vegetation. 
The atmospheric windows are given in Fig. 2. Our 
area of interest is limited to the zone between 
0.3 pm and 13 pm , which contains atmospheric 
windows and therefore good possibilities for remote 
sensing. 
Laboratory data on spectral reflectance of 
mineral materials are given by Hunt et al. (1970- 
76), Fitzgerald (1974), Kahle et al. (1980), Siegal 
(1980) and Mulders (1986). 
A summary of absorption bands due to electronic 
and vibrational processes in the 0.4-2.5 pm 
wavelength range of the electromagnetic spectrum is 
given in Fig. 3. 
The bands produced by electronic processes in 
solid matter containing ferrous or ferric ions are 
generally broad and occur in the ultraviolet, 
extending less frequently into the visible and near 
infrared with as a limit a band at 1.1 pm . 
On the contrary, vibrational processes produce 
relatively sharp bands. The vibrational features 
observed in reflectance spectra in the visible and 
near infrared are due to overtones or combination 
tones of H2O, OH' and CO3". 
Wavelength (pm) 
Fig. 2. Atmospheric windows (after Barrett and 
Curtis, 1976; originally Fleagle and Businger, 
1963). 
III II 
III II 
1 
Fe 
1 
1 
Fe 
1 
1 
1 
.4 jjm 
o!ô 
» 1 
.1 °- 8 
• 1 
1.0 
of CO '' * 
Fe' 
OH' 
H 2 o 
3 
H 2 0 OH' OH' 
1 
1 
I 1 1 
± -Ì- -L 
.0 jjm 
1 
Ì5 
• 1 * 1 I I 1 
2.0 2.5 
strong 
1 
weak 
1 
1 
broad band 
1 
1 
_1_ 
sharp band 
Fig. 3. Absorption bands in the 0.4-2.5 pm range. 
The variety in sites of water molecules within 
minerals leads to a variety in frequencies of the 
fundamental modes. In the near infrared, two water 
absorption bands occur at 1.4 pm and 1.9 pm 
respectively. 
The vibration of the hydroxyl group, the OH 
stretching mode, results in bands at 1.4 pm and 
2.8 pm . The combination of the OH stretching mode 
with lattice vibrational modes in layer silicates 
produces a band at 2.2 pm . 
The 1.4 pm and 1.9 pm bands may have such a 
great influence on the nearby spectral zones that 
they are noticeable in these zones for example in 
case of moist soil surfaces. 
Furthermore, overtone and combination tones of 
internal vibrations of CO3" anion radical, or 
combinations with the lattice vibrations, result in 
bands between 1.6 pm and 2.5 pm . A summary on 
vibrational features is given in table 1. Table 2 
presents a summary on absorption bands of humic 
acids. 
DATA PROCESSING 
Information extraction may be done in digital 
processing by using ratios of the reflectance 
values in the different bands. Band 9 serves as a 
reference for the reflective bands (1 to 12). Both 
soils and vegetation exhibit a high reflectance in 
band 9. 
Furthermore, a display of each of the 
combinations of two bands for a sample set reveals 
the correlation of the data. High correlation means 
that no extra information is obtained by that 
combination so that one of the bands can be omitted 
for further study. On the contrary, low correlated 
combinations are interesting for further use 
(Epema, 1986). 
Data reduction has high priority since the number 
of bands is high. To guide the choice of bands, 
preliminary measurements can be made in the field 
with the same detector unit mounted on a tripod. 
CONCLUSIONS 
A versatile multiband scanner approaches 
completion. By the choice of the wavelength bands 
it is suited for the detection of features on the 
surface of the earth of both mineralogical and 
agricultural interest. Full data, including 
reference and calibration data, are recorded during 
the flight. Data processing is performed off line 
on a ground based system.
	        

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